Gemini-OpenAI-Proxy is a proxy designed to convert the OpenAI API protocol to the Google Gemini Pro protocol. This enables seamless integration of OpenAI-powered functionalities into applications using the Gemini Pro protocol.
To build the Gemini-OpenAI-Proxy, follow these steps:
go build -o gemini main.goWe recommend deploying Gemini-OpenAI-Proxy using Docker for a straightforward setup. Follow these steps to deploy with Docker:
docker run --restart=always -it -d -p 8080:8080 --name gemini zhu327/gemini-openai-proxy:latestAdjust the port mapping (e.g., -p 8080:8080) as needed, and ensure that the Docker image version (zhu327/gemini-openai-proxy:latest) aligns with your requirements.
Gemini-OpenAI-Proxy offers a straightforward way to integrate OpenAI functionalities into any application that supports custom OpenAI API endpoints. Follow these steps to leverage the capabilities of this proxy:
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Set Up OpenAI Endpoint: Ensure your application is configured to use a custom OpenAI API endpoint. Gemini-OpenAI-Proxy seamlessly works with any OpenAI-compatible endpoint.
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Get Google AI Studio API Key: Before using the proxy, you'll need to obtain an API key from ai.google.dev. Treat this API key as your OpenAI API key when interacting with Gemini-OpenAI-Proxy.
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Integrate the Proxy into Your Application: Modify your application's API requests to target the Gemini-OpenAI-Proxy, providing the acquired Google AI Studio API key as if it were your OpenAI API key.
Example API Request (Assuming the proxy is hosted at
http://localhost:8080):curl http://localhost:8080/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $YOUR_GOOGLE_AI_STUDIO_API_KEY" \ -d '{ "model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Say this is a test!"}], "temperature": 0.7 }'
Alternatively, use Gemini Pro Vision:
curl http://localhost:8080/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $YOUR_GOOGLE_AI_STUDIO_API_KEY" \ -d '{ "model": "gpt-4-vision-preview", "messages": [{"role": "user", "content": [ {"type": "text", "text": "What’s in this image?"}, { "type": "image_url", "image_url": { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" } } ]}], "temperature": 0.7 }'
If you already have access to the Gemini 1.5 Pro api, you can use:
curl http://localhost:8080/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $YOUR_GOOGLE_AI_STUDIO_API_KEY" \ -d '{ "model": "gpt-4-turbo-preview", "messages": [{"role": "user", "content": "Say this is a test!"}], "temperature": 0.7 }'
Model Mapping:
GPT Model Gemini Model gpt-3.5-turbo gemini-1.0-pro-latest gpt-4 gemini-1.5-flash-latest gpt-4-turbo-preview gemini-1.5-pro-latest gpt-4-vision-preview gemini-1.0-pro-vision-latest If you wish to map
gpt-4-vision-previewtogemini-1.5-pro-latest, you can configure the environment variableGPT_4_VISION_PREVIEW = gemini-1.5-pro-latest. This is becausegemini-1.5-pro-latestnow also supports multi-modal data. -
Handle Responses: Process the responses from the Gemini-OpenAI-Proxy in the same way you would handle responses from OpenAI.
Now, your application is equipped to leverage OpenAI functionality through the Gemini-OpenAI-Proxy, bridging the gap between OpenAI and applications using the Google Gemini Pro protocol.
Gemini-OpenAI-Proxy is licensed under the MIT License - see the LICENSE file for details.
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